What is the agent-tool-protocol MCP server?

mondaycom/agent-tool-protocol — Agent Tool Protocol AgentRank score: 56.2/100.

Is the agent-tool-protocol MCP server actively maintained?

The agent-tool-protocol MCP server was last committed 2mo ago and has 9 contributors. Issue health: 67% of issues resolved. AgentRank freshness score reflects real-time maintenance activity.

agent-tool-protocol MCP Server

Name: mondaycom/agent-tool-protocol
Rating: 3.2 (1 reviews)
Author: mondaycom

mondaycom/agent-tool-protocol

Score: 56.2 ↓ 3.1% Rank #8398 MCP Server

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Overview

mondaycom/agent-tool-protocol is a TypeScript agent tool licensed under MIT. Agent Tool Protocol Topics: ai, atp, llm, mcp, tool-calling.

Ranked #8398 out of 24846 indexed tools.

Ecosystem

TypeScript MIT

aiatpllmmcptool-calling

Score Breakdown

Stars 15% 101

101 stars → growing community

Freshness 25% 2mo ago

Last commit 2mo ago → moderate activity

Issue Health 25% 67%

2/3 issues closed → decent issue management

Contributors 10% 9

9 contributors → small team

Dependents 25% 0

No dependents → no downstream usage

npm Downloads N/A

PyPI Downloads N/A

Forks 11

Description Brief

License MIT

Weights: Freshness 20% · Issue Health 20% · Dependents 22% · Stars 10% · Contributors 8% · How we score →

How to Improve

Description low impact

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Freshness high impact

Last commit was 80 days ago — a recent commit would boost your freshness score

Dependents medium impact

No downstream dependents detected yet — adoption by other projects is the strongest trust signal

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Markdown

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Details

Stars: 101
Forks: 11
Open Issues: 1
Closed Issues: 2
Contributors: 9
Dependents: —
Language: TypeScript
License: MIT
Last Commit: 2mo ago

Matched Queries

"agent tool"topic:mcp

From the README

# Agent Tool Protocol

A production-ready, code-first protocol for AI agents to interact with external systems through secure sandboxed code execution.

## What is Agent Tool Protocol?

Agent Tool Protocol (ATP) is a next-generation protocol that enables AI agents to interact with external systems by generating and executing TypeScript/JavaScript code in a secure, sandboxed environment. Unlike traditional function-calling protocols, ATP allows LLMs to write code that can execute multiple operations in parallel, filter and transform data, chain operations together, and use familiar programming patterns.

ATP provides a complete ecosystem for building production-ready AI agents with:

- **Secure code execution** in isolated V8 VMs with memory limits and timeouts
- **Runtime SDK** (`atp.*`) for LLM calls, embeddings, approvals, caching, and logging
- **Stateless architecture** with optional caching for scalability
- **Client tools** for seamless integration with LangChain, LangGraph, and

Read full README on GitHub →